Castrense Savojardo
Orcid: 0000-0002-7359-0633
According to our database1,
Castrense Savojardo
authored at least 28 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Bioinform., August, 2023
2022
E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants.
Bioinform., November, 2022
2021
Nucleic Acids Res., 2021
On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.
Briefings Bioinform., 2021
2020
Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito.
BMC Bioinform., 2020
DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.
Bioinform., 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019
On the biases in predictions of protein stability changes upon variations: the INPS test case.
Bioinform., 2019
2018
Nucleic Acids Res., 2018
Bioinform., 2018
2017
Bioinform., 2017
ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.
Bioinform., 2017
2016
INPS-MD: a web server to predict stability of protein variants from sequence and structure.
Bioinform., 2016
2015
TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.
Bioinform., 2015
INPS: predicting the impact of non-synonymous variations on protein stability from sequence.
Bioinform., 2015
2014
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.
Bioinform., 2014
2013
PhD thesis, 2013
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
BMC Bioinform., 2013
BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.
Bioinform., 2013
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes.
Bioinform., 2013
The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.
Bioinform., 2013
2011
Nucleic Acids Res., 2011
Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines.
Bioinform., 2011
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization.
Bioinform., 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
Disulfide Connectivity Prediction with Extreme Learning Machines.
Proceedings of the BIOINFORMATICS 2011, 2011
2010
Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
2009
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications.
Algorithms Mol. Biol., 2009